code: def test_timesteps(self):
      for timesteps in [100, 500, 1000]:
          # 0 is not guaranteed to be in the timestep schedule, but timesteps - 1 is
          self.check_over_configs(
              time_step=timesteps - 1, num_train_timesteps=timesteps
          )
  
imports: import tempfile
  from typing import Dict, List, Tuple
  import torch
  from diffusers import LCMScheduler
  from diffusers.utils.testing_utils import torch_device
  from .test_schedulers import SchedulerCommonTest
label_desc: Use image node_id 3 for calling the LCMSchedulerTest obj's underlying member method code with example usage: obj.test_timesteps() without return types